Reliability-based robust design optimization of structures considering uncertainty in design variables
type: Item
instance of: scholarly article
title: Reliability-based robust design optimization of structures considering uncertainty in design variables
zbMATH Open document ID: 1395.62316
DOI: 10.1155/2015/280940
author: Shujuan Wang
author: Qiuyang Li
author: Gordon J. Savage
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper investigates the structural design optimization to cover both the reliability and robustness under uncertainty in design variables. The main objective is to improve the efficiency of the optimization process. To address this problem, a hybrid reliability-based robust design optimization (RRDO) method is proposed. Prior to the design optimization, the Sobol sensitivity analysis is used for selecting key design variables and providing response variance as well, resulting in significantly reduced computational complexity. The single-loop algorithm is employed to guarantee the structural reliability, allowing fast optimization process. In the case of robust design, the weighting factor balances the response performance and variance with respect to the uncertainty in design variables. The main contribution of this paper is that the proposed method applies the RRDO strategy with the usage of global approximation and the Sobol sensitivity analysis, leading to the reduced computational cost. A structural example is given to illustrate the performance of the proposed method.
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 74P10
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6925942
Wikidata QID: Q59117839
describes a project that uses: SPACE
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/280940
OpenAlex ID: W2045162452
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description: scientific article; zbMATH DE number 6925942